Overview

Dataset statistics

Number of variables29
Number of observations3142
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory346.1 B

Variable types

Numeric27
Categorical2

Alerts

state has a high cardinality: 51 distinct valuesHigh cardinality
area_name has a high cardinality: 1877 distinct valuesHigh cardinality
fips is highly overall correlated with stateHigh correlation
urban_influence_code_2013 is highly overall correlated with gq_estimates_2019High correlation
international_mig_2019 is highly overall correlated with r_international_mig_2011 and 1 other fieldsHigh correlation
net_mig_2019 is highly overall correlated with r_net_mig_2015 and 4 other fieldsHigh correlation
gq_estimates_2019 is highly overall correlated with urban_influence_code_2013High correlation
r_birth_2019 is highly overall correlated with r_natural_inc_2019High correlation
r_death_2019 is highly overall correlated with r_natural_inc_2019High correlation
r_natural_inc_2019 is highly overall correlated with r_birth_2019 and 1 other fieldsHigh correlation
r_international_mig_2011 is highly overall correlated with international_mig_2019High correlation
r_international_mig_2019 is highly overall correlated with international_mig_2019High correlation
r_net_mig_2015 is highly overall correlated with net_mig_2019 and 2 other fieldsHigh correlation
r_net_mig_2016 is highly overall correlated with net_mig_2019 and 3 other fieldsHigh correlation
r_net_mig_2017 is highly overall correlated with net_mig_2019 and 4 other fieldsHigh correlation
r_net_mig_2018 is highly overall correlated with net_mig_2019 and 3 other fieldsHigh correlation
r_net_mig_2019 is highly overall correlated with net_mig_2019 and 4 other fieldsHigh correlation
state is highly overall correlated with fipsHigh correlation
fips has unique valuesUnique
economic_typology_2015 has 1236 (39.3%) zerosZeros
international_mig_2019 has 355 (11.3%) zerosZeros
net_mig_2010 has 53 (1.7%) zerosZeros
residual_2010 has 504 (16.0%) zerosZeros
residual_2011 has 842 (26.8%) zerosZeros
residual_2012 has 295 (9.4%) zerosZeros
residual_2013 has 384 (12.2%) zerosZeros
residual_2016 has 684 (21.8%) zerosZeros
residual_2019 has 697 (22.2%) zerosZeros
gq_estimates_2019 has 65 (2.1%) zerosZeros
r_international_mig_2011 has 310 (9.9%) zerosZeros
r_international_mig_2019 has 355 (11.3%) zerosZeros

Reproduction

Analysis started2023-01-17 13:07:55.923809
Analysis finished2023-01-17 13:08:49.399813
Duration53.48 seconds
Software versionpandas-profiling vv3.6.2
Download configurationconfig.json

Variables

fips
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct3142
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30383.649
Minimum1001
Maximum56045
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2023-01-17T14:08:49.446396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1001
5-th percentile5093.1
Q118177.5
median29176
Q345080.5
95-th percentile53062.9
Maximum56045
Range55044
Interquartile range (IQR)26903

Descriptive statistics

Standard deviation15162.508
Coefficient of variation (CV)0.49903513
Kurtosis-1.0980535
Mean30383.649
Median Absolute Deviation (MAD)12020
Skewness-0.079661813
Sum95465426
Variance2.2990166 × 108
MonotonicityStrictly increasing
2023-01-17T14:08:49.518764image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1001 1
 
< 0.1%
39089 1
 
< 0.1%
39093 1
 
< 0.1%
39095 1
 
< 0.1%
39097 1
 
< 0.1%
39099 1
 
< 0.1%
39101 1
 
< 0.1%
39103 1
 
< 0.1%
39105 1
 
< 0.1%
39107 1
 
< 0.1%
Other values (3132) 3132
99.7%
ValueCountFrequency (%)
1001 1
< 0.1%
1003 1
< 0.1%
1005 1
< 0.1%
1007 1
< 0.1%
1009 1
< 0.1%
1011 1
< 0.1%
1013 1
< 0.1%
1015 1
< 0.1%
1017 1
< 0.1%
1019 1
< 0.1%
ValueCountFrequency (%)
56045 1
< 0.1%
56043 1
< 0.1%
56041 1
< 0.1%
56039 1
< 0.1%
56037 1
< 0.1%
56035 1
< 0.1%
56033 1
< 0.1%
56031 1
< 0.1%
56029 1
< 0.1%
56027 1
< 0.1%

state
Categorical

HIGH CARDINALITY  HIGH CORRELATION 

Distinct51
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size181.2 KiB
TX
254 
GA
 
159
VA
 
133
KY
 
120
MO
 
115
Other values (46)
2361 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters6284
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowAL
2nd rowAL
3rd rowAL
4th rowAL
5th rowAL

Common Values

ValueCountFrequency (%)
TX 254
 
8.1%
GA 159
 
5.1%
VA 133
 
4.2%
KY 120
 
3.8%
MO 115
 
3.7%
KS 105
 
3.3%
IL 102
 
3.2%
NC 100
 
3.2%
IA 99
 
3.2%
TN 95
 
3.0%
Other values (41) 1860
59.2%

Length

2023-01-17T14:08:49.583259image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
tx 254
 
8.1%
ga 159
 
5.1%
va 133
 
4.2%
ky 120
 
3.8%
mo 115
 
3.7%
ks 105
 
3.3%
il 102
 
3.2%
nc 100
 
3.2%
ia 99
 
3.2%
tn 95
 
3.0%
Other values (41) 1860
59.2%

Most occurring characters

ValueCountFrequency (%)
A 819
13.0%
N 663
 
10.6%
M 510
 
8.1%
I 502
 
8.0%
T 456
 
7.3%
O 380
 
6.0%
K 331
 
5.3%
L 300
 
4.8%
S 299
 
4.8%
C 277
 
4.4%
Other values (14) 1747
27.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 6284
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 819
13.0%
N 663
 
10.6%
M 510
 
8.1%
I 502
 
8.0%
T 456
 
7.3%
O 380
 
6.0%
K 331
 
5.3%
L 300
 
4.8%
S 299
 
4.8%
C 277
 
4.4%
Other values (14) 1747
27.8%

Most occurring scripts

ValueCountFrequency (%)
Latin 6284
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 819
13.0%
N 663
 
10.6%
M 510
 
8.1%
I 502
 
8.0%
T 456
 
7.3%
O 380
 
6.0%
K 331
 
5.3%
L 300
 
4.8%
S 299
 
4.8%
C 277
 
4.4%
Other values (14) 1747
27.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 819
13.0%
N 663
 
10.6%
M 510
 
8.1%
I 502
 
8.0%
T 456
 
7.3%
O 380
 
6.0%
K 331
 
5.3%
L 300
 
4.8%
S 299
 
4.8%
C 277
 
4.4%
Other values (14) 1747
27.8%

area_name
Categorical

Distinct1877
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Memory size218.1 KiB
Washington County
 
30
Jefferson County
 
25
Franklin County
 
24
Lincoln County
 
23
Jackson County
 
23
Other values (1872)
3017 

Length

Max length33
Median length28
Mean length14.024507
Min length10

Characters and Unicode

Total characters44065
Distinct characters56
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1454 ?
Unique (%)46.3%

Sample

1st rowAutauga County
2nd rowBaldwin County
3rd rowBarbour County
4th rowBibb County
5th rowBlount County

Common Values

ValueCountFrequency (%)
Washington County 30
 
1.0%
Jefferson County 25
 
0.8%
Franklin County 24
 
0.8%
Lincoln County 23
 
0.7%
Jackson County 23
 
0.7%
Madison County 19
 
0.6%
Montgomery County 18
 
0.6%
Clay County 18
 
0.6%
Monroe County 17
 
0.5%
Marion County 17
 
0.5%
Other values (1867) 2928
93.2%

Length

2023-01-17T14:08:49.646396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
county 3007
46.1%
parish 64
 
1.0%
city 47
 
0.7%
washington 31
 
0.5%
jefferson 28
 
0.4%
st 26
 
0.4%
franklin 26
 
0.4%
jackson 24
 
0.4%
lincoln 24
 
0.4%
madison 20
 
0.3%
Other values (1863) 3219
49.4%

Most occurring characters

ValueCountFrequency (%)
n 4875
11.1%
o 4741
10.8%
t 4046
 
9.2%
u 3584
 
8.1%
C 3422
 
7.8%
y 3394
 
7.7%
3374
 
7.7%
a 2252
 
5.1%
e 2165
 
4.9%
r 1607
 
3.6%
Other values (46) 10605
24.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 34139
77.5%
Uppercase Letter 6515
 
14.8%
Space Separator 3374
 
7.7%
Other Punctuation 31
 
0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 4875
14.3%
o 4741
13.9%
t 4046
11.9%
u 3584
10.5%
y 3394
9.9%
a 2252
6.6%
e 2165
6.3%
r 1607
 
4.7%
i 1268
 
3.7%
l 1268
 
3.7%
Other values (17) 4939
14.5%
Uppercase Letter
ValueCountFrequency (%)
C 3422
52.5%
M 312
 
4.8%
S 283
 
4.3%
P 263
 
4.0%
B 260
 
4.0%
W 225
 
3.5%
L 224
 
3.4%
H 198
 
3.0%
G 157
 
2.4%
D 146
 
2.2%
Other values (15) 1025
 
15.7%
Other Punctuation
ValueCountFrequency (%)
. 27
87.1%
' 4
 
12.9%
Space Separator
ValueCountFrequency (%)
3374
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 40654
92.3%
Common 3411
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 4875
12.0%
o 4741
11.7%
t 4046
10.0%
u 3584
 
8.8%
C 3422
 
8.4%
y 3394
 
8.3%
a 2252
 
5.5%
e 2165
 
5.3%
r 1607
 
4.0%
i 1268
 
3.1%
Other values (42) 9300
22.9%
Common
ValueCountFrequency (%)
3374
98.9%
. 27
 
0.8%
- 6
 
0.2%
' 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44064
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 4875
11.1%
o 4741
10.8%
t 4046
 
9.2%
u 3584
 
8.1%
C 3422
 
7.8%
y 3394
 
7.7%
3374
 
7.7%
a 2252
 
5.1%
e 2165
 
4.9%
r 1607
 
3.6%
Other values (45) 10604
24.1%
None
ValueCountFrequency (%)
ñ 1
100.0%

urban_influence_code_2013
Real number (ℝ)

Distinct12
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2676639
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2023-01-17T14:08:49.704491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q38
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4993015
Coefficient of variation (CV)0.66429856
Kurtosis-1.1165439
Mean5.2676639
Median Absolute Deviation (MAD)3
Skewness0.4024425
Sum16551
Variance12.245111
MonotonicityNot monotonic
2023-01-17T14:08:49.758233image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 734
23.4%
1 432
13.7%
6 344
10.9%
8 269
 
8.6%
5 242
 
7.7%
10 189
 
6.0%
9 184
 
5.9%
12 182
 
5.8%
7 162
 
5.2%
4 149
 
4.7%
Other values (2) 255
 
8.1%
ValueCountFrequency (%)
1 432
13.7%
2 734
23.4%
3 130
 
4.1%
4 149
 
4.7%
5 242
 
7.7%
6 344
10.9%
7 162
 
5.2%
8 269
 
8.6%
9 184
 
5.9%
10 189
 
6.0%
ValueCountFrequency (%)
12 182
5.8%
11 125
 
4.0%
10 189
6.0%
9 184
5.9%
8 269
8.6%
7 162
5.2%
6 344
10.9%
5 242
7.7%
4 149
4.7%
3 130
 
4.1%

economic_typology_2015
Real number (ℝ)

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8084023
Minimum0
Maximum5
Zeros1236
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2023-01-17T14:08:49.808516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.819511
Coefficient of variation (CV)1.0061428
Kurtosis-1.304376
Mean1.8084023
Median Absolute Deviation (MAD)1
Skewness0.44504894
Sum5682
Variance3.3106202
MonotonicityNot monotonic
2023-01-17T14:08:49.861759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1236
39.3%
3 501
15.9%
1 444
 
14.1%
4 407
 
13.0%
5 333
 
10.6%
2 221
 
7.0%
ValueCountFrequency (%)
0 1236
39.3%
1 444
 
14.1%
2 221
 
7.0%
3 501
15.9%
4 407
 
13.0%
5 333
 
10.6%
ValueCountFrequency (%)
5 333
 
10.6%
4 407
 
13.0%
3 501
15.9%
2 221
 
7.0%
1 444
 
14.1%
0 1236
39.3%

international_mig_2019
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct511
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.48059
Minimum-387
Maximum38016
Zeros355
Zeros (%)11.3%
Negative721
Negative (%)22.9%
Memory size24.7 KiB
2023-01-17T14:08:49.926663image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-387
5-th percentile-10
Q10
median4
Q332
95-th percentile573.65
Maximum38016
Range38403
Interquartile range (IQR)32

Descriptive statistics

Standard deviation1231.6918
Coefficient of variation (CV)6.5003589
Kurtosis391.10767
Mean189.48059
Median Absolute Deviation (MAD)7
Skewness16.750431
Sum595348
Variance1517064.7
MonotonicityNot monotonic
2023-01-17T14:08:50.002714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 355
 
11.3%
1 170
 
5.4%
-1 155
 
4.9%
2 143
 
4.6%
-2 129
 
4.1%
3 106
 
3.4%
5 87
 
2.8%
6 85
 
2.7%
4 80
 
2.5%
-3 66
 
2.1%
Other values (501) 1766
56.2%
ValueCountFrequency (%)
-387 1
< 0.1%
-360 1
< 0.1%
-270 1
< 0.1%
-246 1
< 0.1%
-144 1
< 0.1%
-139 1
< 0.1%
-137 1
< 0.1%
-118 1
< 0.1%
-96 1
< 0.1%
-94 1
< 0.1%
ValueCountFrequency (%)
38016 1
< 0.1%
24889 1
< 0.1%
21050 1
< 0.1%
17969 1
< 0.1%
13409 1
< 0.1%
13055 1
< 0.1%
11637 1
< 0.1%
9883 1
< 0.1%
9242 1
< 0.1%
8965 1
< 0.1%

net_mig_2010
Real number (ℝ)

Distinct697
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.511139
Minimum-15150
Maximum7508
Zeros53
Zeros (%)1.7%
Negative1439
Negative (%)45.8%
Memory size24.7 KiB
2023-01-17T14:08:50.081226image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-15150
5-th percentile-134.95
Q1-24
median2
Q334
95-th percentile450.9
Maximum7508
Range22658
Interquartile range (IQR)58

Descriptive statistics

Standard deviation531.2488
Coefficient of variation (CV)9.5701296
Kurtosis270.30235
Mean55.511139
Median Absolute Deviation (MAD)29
Skewness-4.2830028
Sum174416
Variance282225.28
MonotonicityNot monotonic
2023-01-17T14:08:50.152390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 57
 
1.8%
0 53
 
1.7%
-2 46
 
1.5%
2 46
 
1.5%
-3 45
 
1.4%
1 43
 
1.4%
-1 43
 
1.4%
4 42
 
1.3%
-8 41
 
1.3%
6 40
 
1.3%
Other values (687) 2686
85.5%
ValueCountFrequency (%)
-15150 1
< 0.1%
-7196 1
< 0.1%
-5103 1
< 0.1%
-2626 1
< 0.1%
-2326 1
< 0.1%
-1918 1
< 0.1%
-1517 1
< 0.1%
-1278 1
< 0.1%
-1187 1
< 0.1%
-1158 1
< 0.1%
ValueCountFrequency (%)
7508 1
< 0.1%
7217 1
< 0.1%
6213 1
< 0.1%
6061 1
< 0.1%
4446 1
< 0.1%
4154 1
< 0.1%
4084 1
< 0.1%
4031 1
< 0.1%
3786 1
< 0.1%
3514 1
< 0.1%

net_mig_2019
Real number (ℝ)

Distinct1340
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.48059
Minimum-79758
Maximum62997
Zeros4
Zeros (%)0.1%
Negative1585
Negative (%)50.4%
Memory size24.7 KiB
2023-01-17T14:08:50.223378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-79758
5-th percentile-700.45
Q1-111
median-2
Q3177.75
95-th percentile2039.9
Maximum62997
Range142755
Interquartile range (IQR)288.75

Descriptive statistics

Standard deviation2920.2652
Coefficient of variation (CV)15.41195
Kurtosis284.68325
Mean189.48059
Median Absolute Deviation (MAD)134.5
Skewness-4.1842925
Sum595348
Variance8527949.1
MonotonicityNot monotonic
2023-01-17T14:08:50.294778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-38 15
 
0.5%
-25 15
 
0.5%
-19 15
 
0.5%
20 15
 
0.5%
-14 15
 
0.5%
-26 14
 
0.4%
-9 13
 
0.4%
-44 13
 
0.4%
-21 12
 
0.4%
22 12
 
0.4%
Other values (1330) 3003
95.6%
ValueCountFrequency (%)
-79758 1
< 0.1%
-41173 1
< 0.1%
-37742 1
< 0.1%
-31906 1
< 0.1%
-22506 1
< 0.1%
-15180 1
< 0.1%
-15147 1
< 0.1%
-15012 1
< 0.1%
-12998 1
< 0.1%
-11803 1
< 0.1%
ValueCountFrequency (%)
62997 1
< 0.1%
31283 1
< 0.1%
24052 1
< 0.1%
22716 1
< 0.1%
20312 1
< 0.1%
18260 1
< 0.1%
17847 1
< 0.1%
17311 1
< 0.1%
17226 1
< 0.1%
16082 1
< 0.1%

residual_2010
Real number (ℝ)

Distinct186
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-394
Maximum996
Zeros504
Zeros (%)16.0%
Negative1634
Negative (%)52.0%
Memory size24.7 KiB
2023-01-17T14:08:50.369643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-394
5-th percentile-20
Q1-3
median-1
Q31
95-th percentile18
Maximum996
Range1390
Interquartile range (IQR)4

Descriptive statistics

Standard deviation38.294665
Coefficient of variation (CV)nan
Kurtosis255.25466
Mean0
Median Absolute Deviation (MAD)2
Skewness10.241716
Sum0
Variance1466.4814
MonotonicityNot monotonic
2023-01-17T14:08:50.442890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 504
16.0%
-1 452
14.4%
1 314
 
10.0%
-2 297
 
9.5%
-3 181
 
5.8%
2 156
 
5.0%
-4 127
 
4.0%
-5 94
 
3.0%
3 94
 
3.0%
-6 77
 
2.5%
Other values (176) 846
26.9%
ValueCountFrequency (%)
-394 1
< 0.1%
-381 1
< 0.1%
-340 1
< 0.1%
-304 1
< 0.1%
-197 1
< 0.1%
-195 1
< 0.1%
-187 2
0.1%
-185 1
< 0.1%
-175 1
< 0.1%
-167 1
< 0.1%
ValueCountFrequency (%)
996 1
< 0.1%
840 1
< 0.1%
493 1
< 0.1%
462 1
< 0.1%
434 1
< 0.1%
300 1
< 0.1%
267 1
< 0.1%
249 1
< 0.1%
239 1
< 0.1%
236 1
< 0.1%

residual_2011
Real number (ℝ)

Distinct92
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-85
Maximum147
Zeros842
Zeros (%)26.8%
Negative1312
Negative (%)41.8%
Memory size24.7 KiB
2023-01-17T14:08:50.516908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-85
5-th percentile-6
Q1-1
median0
Q31
95-th percentile6
Maximum147
Range232
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.8530757
Coefficient of variation (CV)nan
Kurtosis68.060137
Mean0
Median Absolute Deviation (MAD)1
Skewness4.0966887
Sum0
Variance78.37695
MonotonicityNot monotonic
2023-01-17T14:08:50.590262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 842
26.8%
-1 632
20.1%
1 534
17.0%
-2 274
 
8.7%
2 161
 
5.1%
-3 123
 
3.9%
-4 77
 
2.5%
3 64
 
2.0%
-5 35
 
1.1%
5 29
 
0.9%
Other values (82) 371
11.8%
ValueCountFrequency (%)
-85 1
 
< 0.1%
-79 1
 
< 0.1%
-67 1
 
< 0.1%
-61 1
 
< 0.1%
-55 1
 
< 0.1%
-45 2
0.1%
-44 3
0.1%
-40 1
 
< 0.1%
-39 1
 
< 0.1%
-38 1
 
< 0.1%
ValueCountFrequency (%)
147 1
< 0.1%
105 1
< 0.1%
99 1
< 0.1%
95 1
< 0.1%
90 1
< 0.1%
88 1
< 0.1%
86 1
< 0.1%
85 1
< 0.1%
74 1
< 0.1%
72 1
< 0.1%

residual_2012
Real number (ℝ)

Distinct258
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-1352
Maximum827
Zeros295
Zeros (%)9.4%
Negative1406
Negative (%)44.7%
Memory size24.7 KiB
2023-01-17T14:08:50.661926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1352
5-th percentile-30.95
Q1-4
median0
Q34
95-th percentile29
Maximum827
Range2179
Interquartile range (IQR)8

Descriptive statistics

Standard deviation53.20678
Coefficient of variation (CV)nan
Kurtosis187.71571
Mean0
Median Absolute Deviation (MAD)4
Skewness-4.1609054
Sum0
Variance2830.9615
MonotonicityNot monotonic
2023-01-17T14:08:50.731648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 295
 
9.4%
-1 272
 
8.7%
1 252
 
8.0%
2 222
 
7.1%
-2 180
 
5.7%
3 175
 
5.6%
-3 134
 
4.3%
4 108
 
3.4%
-4 100
 
3.2%
-5 91
 
2.9%
Other values (248) 1313
41.8%
ValueCountFrequency (%)
-1352 1
< 0.1%
-736 1
< 0.1%
-580 1
< 0.1%
-459 1
< 0.1%
-430 1
< 0.1%
-367 1
< 0.1%
-318 1
< 0.1%
-301 1
< 0.1%
-299 1
< 0.1%
-290 1
< 0.1%
ValueCountFrequency (%)
827 1
< 0.1%
599 1
< 0.1%
549 1
< 0.1%
470 1
< 0.1%
425 1
< 0.1%
417 1
< 0.1%
335 1
< 0.1%
327 1
< 0.1%
303 1
< 0.1%
295 1
< 0.1%

residual_2013
Real number (ℝ)

Distinct220
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-827
Maximum537
Zeros384
Zeros (%)12.2%
Negative1500
Negative (%)47.7%
Memory size24.7 KiB
2023-01-17T14:08:50.799535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-827
5-th percentile-24
Q1-3
median0
Q32
95-th percentile30
Maximum537
Range1364
Interquartile range (IQR)5

Descriptive statistics

Standard deviation37.97469
Coefficient of variation (CV)nan
Kurtosis122.33441
Mean0
Median Absolute Deviation (MAD)3
Skewness-3.1799853
Sum0
Variance1442.077
MonotonicityNot monotonic
2023-01-17T14:08:50.871167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 384
 
12.2%
-1 329
 
10.5%
1 313
 
10.0%
-2 237
 
7.5%
2 202
 
6.4%
-3 174
 
5.5%
-4 133
 
4.2%
3 128
 
4.1%
4 92
 
2.9%
-5 83
 
2.6%
Other values (210) 1067
34.0%
ValueCountFrequency (%)
-827 1
< 0.1%
-519 1
< 0.1%
-447 1
< 0.1%
-321 1
< 0.1%
-313 1
< 0.1%
-311 1
< 0.1%
-306 1
< 0.1%
-301 1
< 0.1%
-258 1
< 0.1%
-241 1
< 0.1%
ValueCountFrequency (%)
537 1
< 0.1%
400 1
< 0.1%
367 1
< 0.1%
274 1
< 0.1%
267 1
< 0.1%
260 1
< 0.1%
258 1
< 0.1%
256 1
< 0.1%
251 1
< 0.1%
237 1
< 0.1%

residual_2016
Real number (ℝ)

Distinct113
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-152
Maximum117
Zeros684
Zeros (%)21.8%
Negative1549
Negative (%)49.3%
Memory size24.7 KiB
2023-01-17T14:08:50.946706image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-152
5-th percentile-7
Q1-2
median0
Q31
95-th percentile8
Maximum117
Range269
Interquartile range (IQR)3

Descriptive statistics

Standard deviation10.768911
Coefficient of variation (CV)nan
Kurtosis50.605471
Mean0
Median Absolute Deviation (MAD)1
Skewness1.501525
Sum0
Variance115.96944
MonotonicityNot monotonic
2023-01-17T14:08:51.021461image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 684
21.8%
-1 663
21.1%
1 405
12.9%
-2 364
11.6%
-3 153
 
4.9%
2 148
 
4.7%
-4 94
 
3.0%
3 62
 
2.0%
-5 60
 
1.9%
4 53
 
1.7%
Other values (103) 456
14.5%
ValueCountFrequency (%)
-152 1
< 0.1%
-109 1
< 0.1%
-106 1
< 0.1%
-86 1
< 0.1%
-76 1
< 0.1%
-66 1
< 0.1%
-56 1
< 0.1%
-48 1
< 0.1%
-47 2
0.1%
-46 1
< 0.1%
ValueCountFrequency (%)
117 1
< 0.1%
111 1
< 0.1%
102 1
< 0.1%
101 1
< 0.1%
95 1
< 0.1%
94 1
< 0.1%
90 1
< 0.1%
89 2
0.1%
86 1
< 0.1%
80 1
< 0.1%

residual_2019
Real number (ℝ)

Distinct118
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum-143
Maximum315
Zeros697
Zeros (%)22.2%
Negative1559
Negative (%)49.6%
Memory size24.7 KiB
2023-01-17T14:08:51.092694image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-143
5-th percentile-8.95
Q1-2
median0
Q31
95-th percentile8
Maximum315
Range458
Interquartile range (IQR)3

Descriptive statistics

Standard deviation12.976407
Coefficient of variation (CV)nan
Kurtosis160.93003
Mean0
Median Absolute Deviation (MAD)1
Skewness7.8279305
Sum0
Variance168.38714
MonotonicityNot monotonic
2023-01-17T14:08:51.166199image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 697
22.2%
-1 627
20.0%
1 434
13.8%
-2 376
12.0%
-3 168
 
5.3%
2 132
 
4.2%
-4 83
 
2.6%
3 62
 
2.0%
-5 56
 
1.8%
-6 50
 
1.6%
Other values (108) 457
14.5%
ValueCountFrequency (%)
-143 1
< 0.1%
-94 1
< 0.1%
-84 1
< 0.1%
-67 1
< 0.1%
-64 1
< 0.1%
-62 1
< 0.1%
-60 1
< 0.1%
-58 1
< 0.1%
-53 1
< 0.1%
-50 1
< 0.1%
ValueCountFrequency (%)
315 1
< 0.1%
188 1
< 0.1%
171 1
< 0.1%
160 1
< 0.1%
144 1
< 0.1%
100 2
0.1%
98 1
< 0.1%
97 1
< 0.1%
86 2
0.1%
78 1
< 0.1%

gq_estimates_2019
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1862
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2572.9987
Minimum0
Maximum179406
Zeros65
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2023-01-17T14:08:51.238975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.05
Q1175.25
median607
Q32239.75
95-th percentile11231.75
Maximum179406
Range179406
Interquartile range (IQR)2064.5

Descriptive statistics

Standard deviation6714.48
Coefficient of variation (CV)2.6095932
Kurtosis194.97648
Mean2572.9987
Median Absolute Deviation (MAD)531
Skewness10.368839
Sum8084362
Variance45084242
MonotonicityNot monotonic
2023-01-17T14:08:51.311899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65
 
2.1%
52 12
 
0.4%
40 12
 
0.4%
246 10
 
0.3%
54 10
 
0.3%
67 10
 
0.3%
34 10
 
0.3%
92 9
 
0.3%
80 9
 
0.3%
56 9
 
0.3%
Other values (1852) 2986
95.0%
ValueCountFrequency (%)
0 65
2.1%
1 5
 
0.2%
2 6
 
0.2%
3 7
 
0.2%
5 2
 
0.1%
6 1
 
< 0.1%
7 3
 
0.1%
8 1
 
< 0.1%
9 5
 
0.2%
10 1
 
< 0.1%
ValueCountFrequency (%)
179406 1
< 0.1%
107139 1
< 0.1%
90978 1
< 0.1%
68626 1
< 0.1%
67191 1
< 0.1%
56387 1
< 0.1%
55821 1
< 0.1%
50977 1
< 0.1%
48227 1
< 0.1%
44007 1
< 0.1%

r_birth_2019
Real number (ℝ)

Distinct3138
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.98842
Minimum0
Maximum28.192024
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2023-01-17T14:08:51.388492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.5352816
Q19.5231773
median10.893989
Q312.168684
95-th percentile14.826082
Maximum28.192024
Range28.192024
Interquartile range (IQR)2.6455063

Descriptive statistics

Standard deviation2.4178
Coefficient of variation (CV)0.22003162
Kurtosis5.2972065
Mean10.98842
Median Absolute Deviation (MAD)1.3140119
Skewness1.0418673
Sum34525.617
Variance5.8457566
MonotonicityNot monotonic
2023-01-17T14:08:51.457451image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.868421053 2
 
0.1%
11.42857143 2
 
0.1%
8.75273523 2
 
0.1%
11.52630601 2
 
0.1%
15.68360041 1
 
< 0.1%
10.91544501 1
 
< 0.1%
12.02144961 1
 
< 0.1%
10.26038763 1
 
< 0.1%
12.35022612 1
 
< 0.1%
9.896768402 1
 
< 0.1%
Other values (3128) 3128
99.6%
ValueCountFrequency (%)
0 1
< 0.1%
0.7955449483 1
< 0.1%
2.457002457 1
< 0.1%
2.714708786 1
< 0.1%
2.752735531 1
< 0.1%
2.824459822 1
< 0.1%
2.970885324 1
< 0.1%
3.137254902 1
< 0.1%
3.660885582 1
< 0.1%
4.004004004 1
< 0.1%
ValueCountFrequency (%)
28.19202413 1
< 0.1%
28.00985755 1
< 0.1%
27.99110752 1
< 0.1%
26.40929756 1
< 0.1%
25.0679553 1
< 0.1%
23.30819704 1
< 0.1%
23.18693408 1
< 0.1%
22.30397981 1
< 0.1%
22.22532199 1
< 0.1%
22.0232333 1
< 0.1%

r_death_2019
Real number (ℝ)

Distinct3134
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.407248
Minimum0
Maximum22.10189
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2023-01-17T14:08:51.532622image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.9091281
Q18.7433555
median10.488678
Q312.210123
95-th percentile14.553553
Maximum22.10189
Range22.10189
Interquartile range (IQR)3.4667672

Descriptive statistics

Standard deviation2.6809191
Coefficient of variation (CV)0.25760116
Kurtosis0.54060476
Mean10.407248
Median Absolute Deviation (MAD)1.7351737
Skewness-0.2129272
Sum32699.572
Variance7.1873274
MonotonicityNot monotonic
2023-01-17T14:08:51.603345image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
0.2%
10.1010101 2
 
0.1%
9.454232918 2
 
0.1%
10.23017903 2
 
0.1%
9.712572485 1
 
< 0.1%
9.857812786 1
 
< 0.1%
9.995394944 1
 
< 0.1%
10.63219731 1
 
< 0.1%
8.842010772 1
 
< 0.1%
12.8150531 1
 
< 0.1%
Other values (3124) 3124
99.4%
ValueCountFrequency (%)
0 6
0.2%
1.039501039 1
 
< 0.1%
1.241795281 1
 
< 0.1%
1.70212766 1
 
< 0.1%
2.079938988 1
 
< 0.1%
2.102511649 1
 
< 0.1%
2.231831497 1
 
< 0.1%
2.231998447 1
 
< 0.1%
2.289452167 1
 
< 0.1%
2.343962933 1
 
< 0.1%
ValueCountFrequency (%)
22.10188971 1
< 0.1%
21.71113156 1
< 0.1%
19.34363116 1
< 0.1%
18.98256622 1
< 0.1%
18.58304297 1
< 0.1%
18.55101529 1
< 0.1%
18.40118045 1
< 0.1%
18.30101827 1
< 0.1%
18.27491138 1
< 0.1%
18.20144683 1
< 0.1%

r_natural_inc_2019
Real number (ℝ)

Distinct3110
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58117258
Minimum-13.540491
Maximum24.429062
Zeros30
Zeros (%)1.0%
Negative1430
Negative (%)45.5%
Memory size24.7 KiB
2023-01-17T14:08:51.676590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-13.540491
5-th percentile-5.3077187
Q1-1.9526972
median0.32832636
Q32.7428167
95-th percentile7.342448
Maximum24.429062
Range37.969554
Interquartile range (IQR)4.6955139

Descriptive statistics

Standard deviation3.9452023
Coefficient of variation (CV)6.788349
Kurtosis1.723392
Mean0.58117258
Median Absolute Deviation (MAD)2.3528218
Skewness0.54980902
Sum1826.0442
Variance15.564621
MonotonicityNot monotonic
2023-01-17T14:08:51.751495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
1.0%
2.342362764 2
 
0.1%
10.5471325 2
 
0.1%
5.420054201 2
 
0.1%
0.9670044923 1
 
< 0.1%
1.120829854 1
 
< 0.1%
0.2649926885 1
 
< 0.1%
1.718028813 1
 
< 0.1%
1.05475763 1
 
< 0.1%
-2.528941972 1
 
< 0.1%
Other values (3100) 3100
98.7%
ValueCountFrequency (%)
-13.54049128 1
< 0.1%
-13.52176159 1
< 0.1%
-12.69549218 1
< 0.1%
-12.01201201 1
< 0.1%
-11.78682617 1
< 0.1%
-11.18099231 1
< 0.1%
-11.0311799 1
< 0.1%
-10.98039216 1
< 0.1%
-10.59827248 1
< 0.1%
-10.59475078 1
< 0.1%
ValueCountFrequency (%)
24.42906225 1
< 0.1%
20.60607941 1
< 0.1%
19.99349049 1
< 0.1%
19.6883378 1
< 0.1%
19.02748414 1
< 0.1%
17.27210418 1
< 0.1%
16.3132137 1
< 0.1%
16.01101269 1
< 0.1%
15.62781752 1
< 0.1%
15.05062592 1
< 0.1%

r_international_mig_2011
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2829
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.85911785
Minimum-2.0429009
Maximum25.836576
Zeros310
Zeros (%)9.9%
Negative590
Negative (%)18.8%
Memory size24.7 KiB
2023-01-17T14:08:51.829358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-2.0429009
5-th percentile-0.32727691
Q10
median0.33048308
Q31.0743624
95-th percentile3.9662681
Maximum25.836576
Range27.879477
Interquartile range (IQR)1.0743624

Descriptive statistics

Standard deviation1.6501638
Coefficient of variation (CV)1.9207653
Kurtosis31.127767
Mean0.85911785
Median Absolute Deviation (MAD)0.39120179
Skewness4.16735
Sum2699.3483
Variance2.7230405
MonotonicityNot monotonic
2023-01-17T14:08:51.900556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 310
 
9.9%
0.1241156758 2
 
0.1%
-0.149097957 2
 
0.1%
-0.133040644 2
 
0.1%
0.1077237962 2
 
0.1%
0.0727272727 1
 
< 0.1%
0.3083267493 1
 
< 0.1%
0.2469257741 1
 
< 0.1%
0.276604305 1
 
< 0.1%
0.6894113488 1
 
< 0.1%
Other values (2819) 2819
89.7%
ValueCountFrequency (%)
-2.042900919 1
< 0.1%
-1.520450053 1
< 0.1%
-1.345593182 1
< 0.1%
-1.200819383 1
< 0.1%
-1.169317119 1
< 0.1%
-1.095629391 1
< 0.1%
-1.084468008 1
< 0.1%
-0.982183646 1
< 0.1%
-0.972940103 1
< 0.1%
-0.946521533 1
< 0.1%
ValueCountFrequency (%)
25.83657588 1
< 0.1%
16.37426901 1
< 0.1%
15.23394995 1
< 0.1%
14.40244616 1
< 0.1%
13.61506498 1
< 0.1%
12.68248391 1
< 0.1%
12.292563 1
< 0.1%
12.02764563 1
< 0.1%
11.00270488 1
< 0.1%
10.95461903 1
< 0.1%

r_international_mig_2019
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2784
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63638284
Minimum-1.7356089
Maximum26.041667
Zeros355
Zeros (%)11.3%
Negative721
Negative (%)22.9%
Memory size24.7 KiB
2023-01-17T14:08:51.973749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-1.7356089
5-th percentile-0.383874
Q10
median0.217478
Q30.76516243
95-th percentile3.0427543
Maximum26.041667
Range27.777276
Interquartile range (IQR)0.76516243

Descriptive statistics

Standard deviation1.4275036
Coefficient of variation (CV)2.2431523
Kurtosis59.14016
Mean0.63638284
Median Absolute Deviation (MAD)0.31583876
Skewness5.5210457
Sum1999.5149
Variance2.0377667
MonotonicityNot monotonic
2023-01-17T14:08:52.044430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 355
 
11.3%
0.2027369488 2
 
0.1%
0.225699669 2
 
0.1%
1.214820814 2
 
0.1%
-0.196860082 2
 
0.1%
-0.287247985 1
 
< 0.1%
0.4989962053 1
 
< 0.1%
-0.130517065 1
 
< 0.1%
0.1704739175 1
 
< 0.1%
0.4037009046 1
 
< 0.1%
Other values (2774) 2774
88.3%
ValueCountFrequency (%)
-1.735608909 1
< 0.1%
-1.536134063 1
< 0.1%
-1.477514083 1
< 0.1%
-1.432845885 1
< 0.1%
-1.420151956 1
< 0.1%
-1.373910957 1
< 0.1%
-1.34509042 1
< 0.1%
-1.291534578 1
< 0.1%
-1.249274974 1
< 0.1%
-1.246192191 1
< 0.1%
ValueCountFrequency (%)
26.04166667 1
< 0.1%
21.40309156 1
< 0.1%
13.99758533 1
< 0.1%
12.77480689 1
< 0.1%
11.99090345 1
< 0.1%
11.6494311 1
< 0.1%
11.19246374 1
< 0.1%
10.62767457 1
< 0.1%
10.01977587 1
< 0.1%
9.713425933 1
< 0.1%

r_net_mig_2011
Real number (ℝ)

Distinct3133
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.86602081
Minimum-124.54212
Maximum122.90503
Zeros10
Zeros (%)0.3%
Negative1755
Negative (%)55.9%
Memory size24.7 KiB
2023-01-17T14:08:52.118569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-124.54212
5-th percentile-15.205074
Q1-5.7770407
median-1.0031857
Q33.8242707
95-th percentile13.853028
Maximum122.90503
Range247.44715
Interquartile range (IQR)9.6013114

Descriptive statistics

Standard deviation10.465836
Coefficient of variation (CV)-12.084971
Kurtosis19.324879
Mean-0.86602081
Median Absolute Deviation (MAD)4.8060362
Skewness0.63737828
Sum-2721.0374
Variance109.53372
MonotonicityNot monotonic
2023-01-17T14:08:52.190678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
0.3%
6.018181818 1
 
< 0.1%
1.130695045 1
 
< 0.1%
-8.665711513 1
 
< 0.1%
-1.446155916 1
 
< 0.1%
-0.646339539 1
 
< 0.1%
2.762901972 1
 
< 0.1%
-3.588087549 1
 
< 0.1%
-5.055028649 1
 
< 0.1%
1.110997412 1
 
< 0.1%
Other values (3123) 3123
99.4%
ValueCountFrequency (%)
-124.5421245 1
< 0.1%
-62.52752092 1
< 0.1%
-58.1336053 1
< 0.1%
-57.67524401 1
< 0.1%
-53.83265067 1
< 0.1%
-49.03417533 1
< 0.1%
-45.14266432 1
< 0.1%
-43.74192701 1
< 0.1%
-41.79543782 1
< 0.1%
-41.1227154 1
< 0.1%
ValueCountFrequency (%)
122.9050279 1
< 0.1%
83.73686955 1
< 0.1%
72.5261217 1
< 0.1%
71.53952548 1
< 0.1%
70.56721751 1
< 0.1%
69.88847584 1
< 0.1%
61.06890228 1
< 0.1%
50.96418733 1
< 0.1%
46.78082465 1
< 0.1%
46.18913619 1
< 0.1%

r_net_mig_2012
Real number (ℝ)

Distinct3130
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7374945
Minimum-99.447514
Maximum119.15405
Zeros9
Zeros (%)0.3%
Negative1889
Negative (%)60.1%
Memory size24.7 KiB
2023-01-17T14:08:52.264098image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-99.447514
5-th percentile-18.176161
Q1-7.1953977
median-1.9315765
Q33.4005675
95-th percentile15.034097
Maximum119.15405
Range218.60156
Interquartile range (IQR)10.595965

Descriptive statistics

Standard deviation11.952832
Coefficient of variation (CV)-6.8793492
Kurtosis14.181169
Mean-1.7374945
Median Absolute Deviation (MAD)5.2978136
Skewness0.47239266
Sum-5459.2078
Variance142.87019
MonotonicityNot monotonic
2023-01-17T14:08:52.336726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
0.3%
-2.120890774 2
 
0.1%
-3.007518797 2
 
0.1%
8.71459695 2
 
0.1%
-0.814521759 2
 
0.1%
-6.226118841 1
 
< 0.1%
0.2664664131 1
 
< 0.1%
-2.554654876 1
 
< 0.1%
0.5640157924 1
 
< 0.1%
-6.182380216 1
 
< 0.1%
Other values (3120) 3120
99.3%
ValueCountFrequency (%)
-99.44751381 1
< 0.1%
-98.59843546 1
< 0.1%
-83.01886792 1
< 0.1%
-80.52230686 1
< 0.1%
-75.95382853 1
< 0.1%
-65.57377049 1
< 0.1%
-61.4322692 1
< 0.1%
-54.64835442 1
< 0.1%
-53.16846986 1
< 0.1%
-51.06986641 1
< 0.1%
ValueCountFrequency (%)
119.1540463 1
< 0.1%
110.8338653 1
< 0.1%
78.84085176 1
< 0.1%
74.87237663 1
< 0.1%
64.48165301 1
< 0.1%
62.49468583 1
< 0.1%
59.52380952 1
< 0.1%
55.79127229 1
< 0.1%
55.71465764 1
< 0.1%
55.53431466 1
< 0.1%

r_net_mig_2013
Real number (ℝ)

Distinct3131
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.72885153
Minimum-99.605727
Maximum208.33333
Zeros10
Zeros (%)0.3%
Negative1782
Negative (%)56.7%
Memory size24.7 KiB
2023-01-17T14:08:52.410815image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-99.605727
5-th percentile-16.320325
Q1-6.0709666
median-1.1512608
Q34.2174764
95-th percentile15.580495
Maximum208.33333
Range307.93906
Interquartile range (IQR)10.288443

Descriptive statistics

Standard deviation11.890405
Coefficient of variation (CV)-16.313891
Kurtosis42.50023
Mean-0.72885153
Median Absolute Deviation (MAD)5.1165765
Skewness2.2264758
Sum-2290.0515
Variance141.38172
MonotonicityNot monotonic
2023-01-17T14:08:52.483284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
0.3%
4.576659039 2
 
0.1%
-1.232032854 2
 
0.1%
-3.902225545 1
 
< 0.1%
-3.257959421 1
 
< 0.1%
-2.2025704 1
 
< 0.1%
3.366346456 1
 
< 0.1%
-4.039367219 1
 
< 0.1%
6.887196076 1
 
< 0.1%
-2.646273626 1
 
< 0.1%
Other values (3121) 3121
99.3%
ValueCountFrequency (%)
-99.60572733 1
< 0.1%
-94.44634899 1
< 0.1%
-66.73353394 1
< 0.1%
-55.78512397 1
< 0.1%
-54.24364123 1
< 0.1%
-51.94354374 1
< 0.1%
-49.30332262 1
< 0.1%
-49.30198607 1
< 0.1%
-47.82720494 1
< 0.1%
-47.29309272 1
< 0.1%
ValueCountFrequency (%)
208.3333333 1
< 0.1%
136.5322207 1
< 0.1%
87.91677023 1
< 0.1%
81.80708181 1
< 0.1%
71.5456849 1
< 0.1%
59.01639344 1
< 0.1%
58.03410894 1
< 0.1%
55.42341944 1
< 0.1%
53.69127517 1
< 0.1%
48.18571986 1
< 0.1%

r_net_mig_2014
Real number (ℝ)

Distinct3128
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.87736993
Minimum-174.35897
Maximum149.87412
Zeros13
Zeros (%)0.4%
Negative1762
Negative (%)56.1%
Memory size24.7 KiB
2023-01-17T14:08:52.558677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-174.35897
5-th percentile-16.909522
Q1-6.3267503
median-1.1872536
Q34.2675428
95-th percentile15.814602
Maximum149.87412
Range324.23309
Interquartile range (IQR)10.594293

Descriptive statistics

Standard deviation11.233003
Coefficient of variation (CV)-12.803041
Kurtosis31.560003
Mean-0.87736993
Median Absolute Deviation (MAD)5.2861944
Skewness-0.0076920524
Sum-2756.6963
Variance126.18036
MonotonicityNot monotonic
2023-01-17T14:08:52.629898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
0.4%
-9.02391337 2
 
0.1%
-12.15189873 2
 
0.1%
1.97044335 1
 
< 0.1%
-4.752718049 1
 
< 0.1%
15.06258884 1
 
< 0.1%
-1.817077968 1
 
< 0.1%
-3.56722705 1
 
< 0.1%
4.313911222 1
 
< 0.1%
-6.592465753 1
 
< 0.1%
Other values (3118) 3118
99.2%
ValueCountFrequency (%)
-174.3589744 1
< 0.1%
-62.23633098 1
< 0.1%
-49.37664042 1
< 0.1%
-46.70956495 1
< 0.1%
-46.31125471 1
< 0.1%
-45.65630945 1
< 0.1%
-43.17548747 1
< 0.1%
-42.45848314 1
< 0.1%
-41.66666667 1
< 0.1%
-41.61022146 1
< 0.1%
ValueCountFrequency (%)
149.8741176 1
< 0.1%
79.40833009 1
< 0.1%
67.36146004 1
< 0.1%
60.10833479 1
< 0.1%
56.93136854 1
< 0.1%
55.81059991 1
< 0.1%
51.98067633 1
< 0.1%
48.7491982 1
< 0.1%
48.74486536 1
< 0.1%
47.45779844 1
< 0.1%

r_net_mig_2015
Real number (ℝ)

Distinct3131
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.49046544
Minimum-76.523881
Maximum278.84615
Zeros12
Zeros (%)0.4%
Negative1727
Negative (%)55.0%
Memory size24.7 KiB
2023-01-17T14:08:52.704104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-76.523881
5-th percentile-17.128033
Q1-6.1403123
median-1.0395605
Q34.9965685
95-th percentile17.653293
Maximum278.84615
Range355.37003
Interquartile range (IQR)11.136881

Descriptive statistics

Standard deviation12.543933
Coefficient of variation (CV)-25.575571
Kurtosis84.886091
Mean-0.49046544
Median Absolute Deviation (MAD)5.4921205
Skewness3.9584931
Sum-1541.0424
Variance157.35027
MonotonicityNot monotonic
2023-01-17T14:08:52.774842image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
0.4%
-1.712874805 1
 
< 0.1%
-5.732261447 1
 
< 0.1%
1.859379125 1
 
< 0.1%
-4.823673317 1
 
< 0.1%
3.222914468 1
 
< 0.1%
-3.172576558 1
 
< 0.1%
-5.014403073 1
 
< 0.1%
-0.159099497 1
 
< 0.1%
-0.559657318 1
 
< 0.1%
Other values (3121) 3121
99.3%
ValueCountFrequency (%)
-76.52388073 1
< 0.1%
-65.152675 1
< 0.1%
-59.02849597 1
< 0.1%
-57.22686364 1
< 0.1%
-57.18824464 1
< 0.1%
-52.9443544 1
< 0.1%
-50.34236327 1
< 0.1%
-48.99532067 1
< 0.1%
-47.27068092 1
< 0.1%
-46.37053088 1
< 0.1%
ValueCountFrequency (%)
278.8461539 1
< 0.1%
134.5223573 1
< 0.1%
78.71586037 1
< 0.1%
66.05504587 1
< 0.1%
62.2737147 1
< 0.1%
59.29604206 1
< 0.1%
56.62983425 1
< 0.1%
50.90008373 1
< 0.1%
49.14764231 1
< 0.1%
43.38624339 1
< 0.1%

r_net_mig_2016
Real number (ℝ)

Distinct3131
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.13915422
Minimum-110.29447
Maximum208.59713
Zeros10
Zeros (%)0.3%
Negative1673
Negative (%)53.2%
Memory size24.7 KiB
2023-01-17T14:08:52.850391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-110.29447
5-th percentile-18.236467
Q1-6.2807863
median-0.69735012
Q35.9112607
95-th percentile19.554859
Maximum208.59713
Range318.8916
Interquartile range (IQR)12.192047

Descriptive statistics

Standard deviation13.169515
Coefficient of variation (CV)-94.639706
Kurtosis33.507078
Mean-0.13915422
Median Absolute Deviation (MAD)5.9870552
Skewness1.6556698
Sum-437.22257
Variance173.43612
MonotonicityNot monotonic
2023-01-17T14:08:52.921780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
0.3%
-5.201560468 2
 
0.1%
-17.36613603 2
 
0.1%
2.963936055 1
 
< 0.1%
-4.256144173 1
 
< 0.1%
-17.11687006 1
 
< 0.1%
-4.267336053 1
 
< 0.1%
0.657000107 1
 
< 0.1%
2.334264395 1
 
< 0.1%
1.639839468 1
 
< 0.1%
Other values (3121) 3121
99.3%
ValueCountFrequency (%)
-110.2944663 1
< 0.1%
-77.77286787 1
< 0.1%
-63.94637294 1
< 0.1%
-60.54803439 1
< 0.1%
-60.38066069 1
< 0.1%
-59.56199029 1
< 0.1%
-54.59940653 1
< 0.1%
-53.67434375 1
< 0.1%
-53.63128492 1
< 0.1%
-53.40699816 1
< 0.1%
ValueCountFrequency (%)
208.5971343 1
< 0.1%
176.5234124 1
< 0.1%
53.15947843 1
< 0.1%
51.95641717 1
< 0.1%
47.6778143 1
< 0.1%
42.17708172 1
< 0.1%
42.03322579 1
< 0.1%
41.4507772 1
< 0.1%
41.30009775 1
< 0.1%
39.90246065 1
< 0.1%

r_net_mig_2017
Real number (ℝ)

Distinct3138
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7883113
Minimum-422.66686
Maximum152
Zeros5
Zeros (%)0.2%
Negative1499
Negative (%)47.7%
Memory size24.7 KiB
2023-01-17T14:08:52.995193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-422.66686
5-th percentile-18.800186
Q1-5.5311985
median0.49321484
Q37.5558652
95-th percentile21.457084
Maximum152
Range574.66686
Interquartile range (IQR)13.087064

Descriptive statistics

Standard deviation15.039887
Coefficient of variation (CV)19.078613
Kurtosis204.51774
Mean0.7883113
Median Absolute Deviation (MAD)6.4609162
Skewness-6.6973248
Sum2476.8741
Variance226.19819
MonotonicityNot monotonic
2023-01-17T14:08:53.065554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
0.2%
0.8496560701 1
 
< 0.1%
-2.791299316 1
 
< 0.1%
15.37440802 1
 
< 0.1%
0.3999478329 1
 
< 0.1%
-5.132408478 1
 
< 0.1%
6.376530762 1
 
< 0.1%
-1.557194455 1
 
< 0.1%
-0.76005541 1
 
< 0.1%
5.921250232 1
 
< 0.1%
Other values (3128) 3128
99.6%
ValueCountFrequency (%)
-422.6668614 1
< 0.1%
-68.54975276 1
< 0.1%
-63.07520617 1
< 0.1%
-60.05444207 1
< 0.1%
-53.46912794 1
< 0.1%
-51.2214342 1
< 0.1%
-50.97588978 1
< 0.1%
-50.74198181 1
< 0.1%
-50.48715678 1
< 0.1%
-48.8997555 1
< 0.1%
ValueCountFrequency (%)
152 1
< 0.1%
101.752809 1
< 0.1%
84.86481285 1
< 0.1%
77.89568751 1
< 0.1%
62.09453197 1
< 0.1%
59.71413446 1
< 0.1%
53.42237062 1
< 0.1%
47.85643071 1
< 0.1%
47.84333168 1
< 0.1%
47.65231973 1
< 0.1%

r_net_mig_2018
Real number (ℝ)

Distinct3131
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.69640648
Minimum-74.122609
Maximum71.174377
Zeros9
Zeros (%)0.3%
Negative1536
Negative (%)48.9%
Memory size24.7 KiB
2023-01-17T14:08:53.138587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-74.122609
5-th percentile-16.851321
Q1-5.5838093
median0.21108619
Q36.5880338
95-th percentile20.3031
Maximum71.174377
Range145.29699
Interquartile range (IQR)12.171843

Descriptive statistics

Standard deviation11.611326
Coefficient of variation (CV)16.673202
Kurtosis3.1728956
Mean0.69640648
Median Absolute Deviation (MAD)6.0512964
Skewness0.16621718
Sum2188.1092
Variance134.82289
MonotonicityNot monotonic
2023-01-17T14:08:53.211446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
0.3%
-24.89626556 2
 
0.1%
-20 2
 
0.1%
-13.46801347 2
 
0.1%
0.5409157704 1
 
< 0.1%
0.0174289281 1
 
< 0.1%
5.348536049 1
 
< 0.1%
3.71828399 1
 
< 0.1%
1.99414761 1
 
< 0.1%
-4.864930938 1
 
< 0.1%
Other values (3121) 3121
99.3%
ValueCountFrequency (%)
-74.12260944 1
< 0.1%
-53.09734513 1
< 0.1%
-49.58603177 1
< 0.1%
-48.12834225 1
< 0.1%
-46.91447131 1
< 0.1%
-46.47676162 1
< 0.1%
-45.11186025 1
< 0.1%
-42.25241498 1
< 0.1%
-41.70249355 1
< 0.1%
-41.61849711 1
< 0.1%
ValueCountFrequency (%)
71.17437722 1
< 0.1%
67.96543137 1
< 0.1%
63.68563686 1
< 0.1%
53.26839662 1
< 0.1%
49.62923472 1
< 0.1%
49.60054381 1
< 0.1%
44.33097366 1
< 0.1%
44.09914909 1
< 0.1%
41.38518174 1
< 0.1%
40.0275775 1
< 0.1%

r_net_mig_2019
Real number (ℝ)

Distinct3138
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26425351
Minimum-165.38526
Maximum126.18297
Zeros4
Zeros (%)0.1%
Negative1585
Negative (%)50.4%
Memory size24.7 KiB
2023-01-17T14:08:53.286709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-165.38526
5-th percentile-17.123011
Q1-5.4334884
median-0.14792328
Q35.9276858
95-th percentile19.073719
Maximum126.18297
Range291.56823
Interquartile range (IQR)11.361174

Descriptive statistics

Standard deviation12.395569
Coefficient of variation (CV)46.907868
Kurtosis17.649691
Mean0.26425351
Median Absolute Deviation (MAD)5.6575231
Skewness-0.52910699
Sum830.28452
Variance153.65012
MonotonicityNot monotonic
2023-01-17T14:08:53.356454image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
0.1%
-14.27042455 2
 
0.1%
4.560061758 1
 
< 0.1%
-0.827622269 1
 
< 0.1%
-4.67387757 1
 
< 0.1%
6.620287253 1
 
< 0.1%
0.2620665256 1
 
< 0.1%
-5.148636224 1
 
< 0.1%
3.607230071 1
 
< 0.1%
-4.00252333 1
 
< 0.1%
Other values (3128) 3128
99.6%
ValueCountFrequency (%)
-165.385261 1
< 0.1%
-92.74673008 1
< 0.1%
-73.56227012 1
< 0.1%
-65.40054579 1
< 0.1%
-64.0625 1
< 0.1%
-63.03151576 1
< 0.1%
-54.89782302 1
< 0.1%
-52.44755245 1
< 0.1%
-51.36986301 1
< 0.1%
-49.92026624 1
< 0.1%
ValueCountFrequency (%)
126.1829653 1
< 0.1%
85.68034104 1
< 0.1%
68.69633099 1
< 0.1%
54.11764706 1
< 0.1%
53.85107002 1
< 0.1%
52.41935484 1
< 0.1%
51.60843999 1
< 0.1%
50.50106785 1
< 0.1%
47.14336789 1
< 0.1%
44.98525583 1
< 0.1%

Interactions

2023-01-17T14:08:47.088306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:56.708361image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:58.492782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:00.294140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:02.076104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:06.090426image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:07.837882image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:09.710955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:11.781981image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:13.516598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:15.212764image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:17.326393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:19.102177image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:20.826315image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:22.697681image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:24.762685image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:26.492238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:28.363252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:30.143484image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:31.937760image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:33.671103image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:35.776256image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:37.594902image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:39.402873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:41.204745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:42.999968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:44.775809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:47.153399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:56.771787image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:58.556906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:00.357504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:02.144174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:06.153544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:07.906648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:09.776975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:11.845301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:13.577010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:15.280590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:17.389848image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:19.163648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:20.895282image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:22.761702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:24.823558image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:26.560928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:28.426932image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:30.221779image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:31.999466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:33.734864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:35.841804image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:37.665443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:39.466948image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:41.270968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:43.062984image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:44.844877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:47.220177image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:56.836124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:58.622653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:00.424269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:02.212687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:06.219372image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:07.974667image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:09.845014image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:11.910418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:13.639252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:15.347321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:17.456757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:19.229457image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:20.964395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:22.825600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:24.888037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:26.628918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:28.493528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:30.288853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:32.063303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:33.797911image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:35.909393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:37.737137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:39.533007image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:41.336496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:43.131040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:44.911783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:47.283388image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:56.901574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:58.688069image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:00.488446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:02.282696image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:06.284079image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:08.043271image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:09.912886image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:11.974695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:13.700576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:15.416146image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:17.522421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:19.294784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:21.032364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:22.891299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:24.950831image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:26.696676image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:28.560448image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:30.358498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:32.127848image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:33.861585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:35.974595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:37.803089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:39.599918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:41.403566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:43.196771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:44.978738image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:47.353779image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:56.973068image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:58.756593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:00.561634image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:02.356336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:06.354375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:08.115404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:09.985900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:12.042028image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:13.768154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:15.489925image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:17.591686image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:19.361668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:21.106306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:22.958948image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:25.018261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:26.770509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:28.629342image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:30.426692image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:32.196525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:33.930467image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:36.046193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:37.874291image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:39.671560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:41.474338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:43.267574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:45.051477image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:47.417457image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:57.039080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:58.820776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:00.625325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-01-17T14:08:37.943822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-01-17T14:08:41.537725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-01-17T14:08:45.116593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-01-17T14:07:58.889849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:00.695069image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-01-17T14:08:06.486675image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:08.259678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-01-17T14:07:59.881207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:01.677234image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:05.668571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:07.446055image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:09.293514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:11.363906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:13.126073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:14.832393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:16.912539image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:18.703484image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:20.440511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:22.278245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:24.054324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:26.102740image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:27.944510image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:29.743024image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:31.537671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:33.280820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:35.389454image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:37.171011image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:39.002887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:40.799354image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:42.600492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:44.379293image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:46.675493image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:48.542968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:58.157947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:59.947497image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:01.744265image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:05.737623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:07.511506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:09.362665image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:11.433279image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:13.191121image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:14.897014image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:16.980343image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:18.771015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:20.504986image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:22.349752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:24.119778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:26.167536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:28.014444image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:29.810945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:31.604169image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:33.347277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:35.453441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:37.238343image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:39.069701image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:40.866783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:42.666549image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:44.445327image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:46.746655image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:48.611628image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:58.223770image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:00.017412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:01.811670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:05.808754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:07.577364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:09.434595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:11.502879image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:13.255406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:14.959774image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:17.049106image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:18.837569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:20.569774image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:22.419293image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:24.188213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:26.232560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:28.084406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:29.877508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:31.670674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:33.411690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:35.518453image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:37.305400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:39.137456image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:40.932425image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:42.734280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:44.511575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:46.817338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:48.678597image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:58.292684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:00.089487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:01.878774image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:05.879084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:07.643710image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:09.503779image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:11.572259image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:13.320416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:15.022601image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:17.119339image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:18.904216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:20.634417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:22.490673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:24.253920image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:26.296700image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:28.154081image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:29.943771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:31.737794image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:33.475560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:35.582203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:37.373820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:39.203613image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:40.999410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:42.800693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:44.579531image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:46.885145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:48.742930image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:58.357684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:00.157956image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:01.943746image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:05.949050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:07.706599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:09.571115image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:11.640531image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:13.384126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:15.085475image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:17.186966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:18.969528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:20.697923image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:22.557770image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:24.319076image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:26.361854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:28.221489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:30.009109image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:31.805023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:33.540443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:35.646536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:37.439704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:39.269015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:41.067635image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:42.866625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:44.643191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:46.951745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:48.810871image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:07:58.426195image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:00.227858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:02.012386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:06.022061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:07.773755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:09.641792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:11.713447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:13.451924image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:15.151435image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:17.259001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:19.038069image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:20.762890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:22.629676image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:24.387076image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:26.430649image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:28.293036image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:30.078703image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:31.873076image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:33.609550image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:35.712531image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:37.509363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:39.337728image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:41.138511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:42.934439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:44.712713image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-01-17T14:08:47.021564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2023-01-17T14:08:53.448193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
fipsurban_influence_code_2013economic_typology_2015international_mig_2019net_mig_2010net_mig_2019residual_2010residual_2011residual_2012residual_2013residual_2016residual_2019gq_estimates_2019r_birth_2019r_death_2019r_natural_inc_2019r_international_mig_2011r_international_mig_2019r_net_mig_2011r_net_mig_2012r_net_mig_2013r_net_mig_2014r_net_mig_2015r_net_mig_2016r_net_mig_2017r_net_mig_2018r_net_mig_2019state
fips1.000-0.0180.017-0.0030.0670.056-0.071-0.062-0.070-0.052-0.002-0.051-0.024-0.057-0.015-0.021-0.020-0.0020.1260.1220.1030.0780.0810.0330.0280.0430.0590.982
urban_influence_code_2013-0.0181.0000.163-0.357-0.177-0.2140.1730.0770.1260.1420.1250.162-0.534-0.0680.274-0.228-0.251-0.171-0.186-0.199-0.212-0.260-0.262-0.299-0.284-0.292-0.2790.206
economic_typology_20150.0170.1631.000-0.060-0.0480.0360.0420.0590.0610.0680.0920.069-0.066-0.240-0.012-0.117-0.017-0.0190.005-0.0090.0250.0130.0250.0350.0370.0590.0560.333
international_mig_2019-0.003-0.357-0.0601.0000.1180.082-0.121-0.044-0.111-0.078-0.048-0.0890.4760.133-0.3380.3180.5050.9110.1940.2280.2040.1820.1810.1260.0910.0920.1020.097
net_mig_20100.067-0.177-0.0480.1181.0000.339-0.062-0.073-0.0890.0100.0070.0280.133-0.005-0.1400.0990.1510.0740.3870.3510.3120.3230.3430.3280.3100.2870.2870.116
net_mig_20190.056-0.2140.0360.0820.3391.0000.028-0.032-0.060-0.008-0.022-0.0820.039-0.142-0.1300.0140.0030.0330.2900.2790.3600.4720.5160.5660.6030.6320.8630.156
residual_2010-0.0710.1730.042-0.121-0.0620.0281.0000.3410.3180.3140.2640.236-0.2400.081-0.1270.130-0.064-0.041-0.023-0.015-0.006-0.019-0.010-0.009-0.017-0.019-0.0130.128
residual_2011-0.0620.0770.059-0.044-0.073-0.0320.3411.0000.3560.3240.2680.202-0.1170.045-0.1420.1270.0180.015-0.133-0.036-0.045-0.064-0.043-0.063-0.061-0.061-0.0490.168
residual_2012-0.0700.1260.061-0.111-0.089-0.0600.3180.3561.0000.3970.2630.227-0.1520.061-0.0560.066-0.072-0.044-0.113-0.278-0.092-0.110-0.088-0.118-0.108-0.094-0.0830.129
residual_2013-0.0520.1420.068-0.0780.010-0.0080.3140.3240.3971.0000.3520.288-0.1530.045-0.0850.085-0.025-0.010-0.0170.015-0.177-0.032-0.022-0.057-0.055-0.027-0.0270.153
residual_2016-0.0020.1250.092-0.0480.007-0.0220.2640.2680.2630.3521.0000.474-0.1010.001-0.1130.0800.0250.028-0.0020.0360.005-0.0120.033-0.108-0.030-0.016-0.0250.149
residual_2019-0.0510.1620.069-0.0890.028-0.0820.2360.2020.2270.2880.4741.000-0.1450.049-0.0660.078-0.020-0.014-0.0170.0050.0050.0120.0220.0180.0110.000-0.0710.168
gq_estimates_2019-0.024-0.534-0.0660.4760.1330.039-0.240-0.117-0.152-0.153-0.101-0.1451.0000.062-0.2160.1790.3730.2770.2230.2270.1420.1780.1610.1250.0970.1120.1040.199
r_birth_2019-0.057-0.068-0.2400.133-0.005-0.1420.0810.0450.0610.0450.0010.0490.0621.000-0.2150.6990.1160.116-0.0380.009-0.049-0.085-0.090-0.134-0.214-0.170-0.1810.176
r_death_2019-0.0150.274-0.012-0.338-0.140-0.130-0.127-0.142-0.056-0.085-0.113-0.066-0.216-0.2151.000-0.817-0.354-0.311-0.162-0.229-0.203-0.185-0.177-0.151-0.106-0.097-0.1330.194
r_natural_inc_2019-0.021-0.228-0.1170.3180.0990.0140.1300.1270.0660.0850.0800.0780.1790.699-0.8171.0000.3190.2940.1020.1710.1240.0920.0740.036-0.039-0.033-0.0080.166
r_international_mig_2011-0.020-0.251-0.0170.5050.1510.003-0.0640.018-0.072-0.0250.025-0.0200.3730.116-0.3540.3191.0000.4810.2320.2500.1400.1270.1130.0860.0440.0140.0310.153
r_international_mig_2019-0.002-0.171-0.0190.9110.0740.033-0.0410.015-0.044-0.0100.028-0.0140.2770.116-0.3110.2940.4811.0000.1370.1740.1640.1250.1230.0540.0350.0260.0370.110
r_net_mig_20110.126-0.1860.0050.1940.3870.290-0.023-0.133-0.113-0.017-0.002-0.0170.223-0.038-0.1620.1020.2320.1371.0000.3990.3810.3530.3580.2860.2440.2810.2730.083
r_net_mig_20120.122-0.199-0.0090.2280.3510.279-0.015-0.036-0.2780.0150.0360.0050.2270.009-0.2290.1710.2500.1740.3991.0000.4190.3880.3920.2660.2460.2510.2670.131
r_net_mig_20130.103-0.2120.0250.2040.3120.360-0.006-0.045-0.092-0.1770.0050.0050.142-0.049-0.2030.1240.1400.1640.3810.4191.0000.4360.4680.3420.3250.3200.3380.099
r_net_mig_20140.078-0.2600.0130.1820.3230.472-0.019-0.064-0.110-0.032-0.0120.0120.178-0.085-0.1850.0920.1270.1250.3530.3880.4361.0000.5000.4710.4420.4510.4570.121
r_net_mig_20150.081-0.2620.0250.1810.3430.516-0.010-0.043-0.088-0.0220.0330.0220.161-0.090-0.1770.0740.1130.1230.3580.3920.4680.5001.0000.4790.5110.5000.5170.110
r_net_mig_20160.033-0.2990.0350.1260.3280.566-0.009-0.063-0.118-0.057-0.1080.0180.125-0.134-0.1510.0360.0860.0540.2860.2660.3420.4710.4791.0000.6280.5850.5650.149
r_net_mig_20170.028-0.2840.0370.0910.3100.603-0.017-0.061-0.108-0.055-0.0300.0110.097-0.214-0.106-0.0390.0440.0350.2440.2460.3250.4420.5110.6281.0000.6260.6110.123
r_net_mig_20180.043-0.2920.0590.0920.2870.632-0.019-0.061-0.094-0.027-0.0160.0000.112-0.170-0.097-0.0330.0140.0260.2810.2510.3200.4510.5000.5850.6261.0000.6340.179
r_net_mig_20190.059-0.2790.0560.1020.2870.863-0.013-0.049-0.083-0.027-0.025-0.0710.104-0.181-0.133-0.0080.0310.0370.2730.2670.3380.4570.5170.5650.6110.6341.0000.141
state0.9820.2060.3330.0970.1160.1560.1280.1680.1290.1530.1490.1680.1990.1760.1940.1660.1530.1100.0830.1310.0990.1210.1100.1490.1230.1790.1411.000

Missing values

2023-01-17T14:08:48.953928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-01-17T14:08:49.301832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

fipsstatearea_nameurban_influence_code_2013economic_typology_2015international_mig_2019net_mig_2010net_mig_2019residual_2010residual_2011residual_2012residual_2013residual_2016residual_2019gq_estimates_2019r_birth_2019r_death_2019r_natural_inc_2019r_international_mig_2011r_international_mig_2019r_net_mig_2011r_net_mig_2012r_net_mig_2013r_net_mig_2014r_net_mig_2015r_net_mig_2016r_net_mig_2017r_net_mig_2018r_net_mig_2019
01001ALAutauga County2.00.0-16.0172.0254.011.0-1.015.0-2.0-3.0-1.0455.011.2026719.7125721.4900990.072727-0.2872486.018182-6.226119-3.9022261.970443-1.7128754.7771710.8496560.5409164.560062
11003ALBaldwin County2.05.080.0818.05377.046.010.085.0100.016.024.02170.010.44687110.546624-0.0997530.9576110.36273916.64187017.48857922.75147420.18433417.72596421.27929122.39825624.72721524.380567
21005ALBarbour County6.03.013.0-70.0-128.02.0-2.02.01.02.0-2.02812.010.33132912.591307-2.259978-0.1829220.5246380.292676-6.897817-8.132185-5.140431-15.724575-18.238016-24.998528-8.754922-5.165664
31007ALBibb County1.00.010.0-59.041.02.01.0-2.02.01.0-2.02148.010.72362111.259802-0.5361810.4384520.446818-4.998356-3.787545-5.7979991.3311441.329817-0.708717-3.234669-6.8570921.831952
41009ALBlount County1.00.06.07.065.0-6.0-3.0-10.0-5.0-2.0-4.0489.011.26326811.367077-0.103809-0.2784160.1038090.208812-1.650165-0.347225-2.049590-1.338525-1.3910626.193562-0.0692291.124597
51011ALBullock County6.03.0-1.0-23.0-73.02.00.0-1.00.0-1.00.01663.010.75215810.7521580.0000001.577653-0.098644-21.994339-6.954560-6.3342009.617198-24.592888-2.212709-19.936786-1.474201-7.200986
61013ALButler County6.00.018.0-4.0-123.0-3.00.02.04.0-1.0-1.0333.010.90099513.920520-3.0195250.0478490.921211-3.636538-7.896764-14.4786230.442445-6.223913-6.272714-4.962406-10.071105-6.294941
71015ALCalhoun County2.04.014.0-117.0-461.0-8.02.0-12.0-4.0-3.0-2.02833.011.13470413.442370-2.3076650.2201970.122841-6.148582-4.588523-5.255477-4.027747-3.215406-3.471589-1.654454-0.488995-4.044995
81017ALChambers County5.00.06.0-48.0-259.0-2.0-1.00.0-2.0-2.00.0458.010.59024113.192928-2.6026860.7923120.179496-1.3792094.4909522.520405-3.7876561.324055-5.7867472.134851-1.515444-7.748227
91019ALCherokee County6.00.0-3.042.0303.0-2.0-2.0-3.0-2.0-2.00.0290.08.50411813.139245-4.635127-0.076994-0.1149214.3886662.3100476.541607-0.809061-2.0919295.3980586.78649712.92962011.606972
fipsstatearea_nameurban_influence_code_2013economic_typology_2015international_mig_2019net_mig_2010net_mig_2019residual_2010residual_2011residual_2012residual_2013residual_2016residual_2019gq_estimates_2019r_birth_2019r_death_2019r_natural_inc_2019r_international_mig_2011r_international_mig_2019r_net_mig_2011r_net_mig_2012r_net_mig_2013r_net_mig_2014r_net_mig_2015r_net_mig_2016r_net_mig_2017r_net_mig_2018r_net_mig_2019
313256027WYNiobrara County12.00.00.04.0-57.00.01.01.03.00.0-1.0260.011.7746015.8873005.887300-0.8041820.000000-2.4125452.01572325.886101-22.2575525.216693-12.892828-32.510288-2.921536-23.969722
313356029WYPark County11.05.0-10.046.0-26.00.0-1.05.02.0-1.0-2.0649.09.6911179.2801860.4109310.000000-0.3424426.06809010.0599057.120882-5.102041-3.4545898.186994-0.2396970.787617-0.890350
313456031WYPlatte County11.00.0-10.018.0-87.01.0-1.0-1.0-1.00.0-1.0102.08.75273512.892542-4.139807-0.345582-1.1828026.2204825.164696-1.3762268.8075493.414329-14.203895-13.8347960.938031-10.290378
313556033WYSheridan County8.00.014.026.0303.0-5.01.01.02.0-2.01.01039.010.14760111.399578-1.2519770.2054830.4612551.9863357.6563166.4802471.9132331.1048802.5398106.2883673.6775679.982868
313656035WYSublette County10.02.0-8.0-16.024.02.01.06.014.0-1.01.0550.08.9663258.1512050.815120-0.293442-0.815120-15.35677617.810473-38.545349-8.855653-20.500124-11.884550-28.0833381.6374152.445361
313756037WYSweetwater County8.02.023.0-346.0-727.023.00.025.01.05.04.0627.011.8777956.9952234.882572-0.9821840.5399000.50251315.035735-4.614071-13.140225-13.762031-18.484164-23.515727-18.743773-17.065527
313856039WYTeton County8.05.079.0-71.042.04.00.00.015.00.00.0269.09.7575593.2097236.547836-0.7492393.380909-2.5755091.90529323.25951912.5088724.6704501.253214-0.171608-12.4322121.797445
313956041WYUinta County8.02.00.0-58.0-186.03.03.0-2.04.03.01.0231.012.5869986.7130665.873933-1.0956290.000000-18.196975-4.487730-10.870861-15.033634-10.484550-11.485101-18.923455-13.554993-9.181105
314056043WYWashakie County11.00.0-5.010.0-65.00.0-1.01.0-1.01.00.0140.010.58538511.478128-0.892743-0.235585-0.637674-12.839390-3.084589-1.307811-18.9380320.000000-15.204038-15.950541-17.246806-8.289759
314156045WYWeston County9.02.018.0-29.018.03.0-1.02.0-1.0-1.0-1.0315.08.80802810.829543-2.021515-0.4184102.599090-9.065551-10.5492656.1915150.4203459.2011710.693097-36.227798-6.9104522.599090